Senior Quantitative Analyst

The Role: 

Morningstar Direct’s Analytics Department is hiring for its quantitative research team and looking for a knowledgeable, enthusiastic, creative, and results-driven individual with 5+ years of experience in equity research or quantitative finance to join us. The team’s mandate is rooted in equity research excellence: to develop and enhance the rigorous financial methodologies that underpin Morningstar’s equity ratings and investment analytics. Its work is fundamentally finance-first — devising valuation frameworks and factor models, strengthening our equity research process, and building tools that empower our 100+ equity analysts and the institutional clients who rely on their insights. The role will report to the Director of Quantitative Research, Equities, situated within Morningstar Direct’s Analytics department. 

The Responsibilities: 

• Pursue a deep understanding of Morningstar’s equity methodologies, analyst workflows, data requirements, and client needs. 

• Partner with equity research, equity data, and clients globally to identify areas where we might apply quantitative methods to benefit our analyst teams and customers. 

• Independently develop and refine quantitative valuation frameworks, factor models, and screening methodologies that strengthen Morningstar’s equity research process and analyst capabilities. 

• Rigorously back-test and validate quantitative investment models, evaluating their predictive power, financial relevance, and robustness across market cycles 

• Partner with model validation and engineering teams to productionize research outputs; programming proficiency (Python preferred) is expected, but serves the research, not the other way around. 

• Create detailed specification documents and client-facing white papers 

• Communicate clear and concise project status information to key stakeholders, including the Morningstar product teams and clients 

The Qualifications: 

• Bachelor’s degree is required; Finance, Economics, or Accounting strongly preferred; Computer Science or Statistics considered when paired with demonstrable investment knowledge 

• CFA charter holder or active CFA candidate strongly preferred; demonstrated commitment to investment excellence is a key differentiator 

• Working proficiency in Python or equivalent quantitative tools; financial domain expertise and investment intuition take priority over pure programming depth 

• Familiarity with quantitative research tools and openness to applying emerging analytical techniques — including AI-assisted research — to investment problems 

• Deep understanding of equity valuation, fundamental analysis, and the investment research process; genuine passion for markets and the interplay between quantitative signals and financial judgment 

• More than 5 years of experience in investment research, equity analysis, or quantitative finance within an asset management, sell-side, or financial data context 

• Ability to communicate complex ideas clearly and succinctly. 

• Strong analytical and logical reasoning skills. 

• Effective time management skills 

• Comfortable taking the initiative and working without detailed guidance or supervision 

• Proactive and positive attitude, and a team player 

This role does not qualify for immigration sponsorship. We will not be considering candidates that require immigration sponsorship now or in the future for this role.

Compensation and Benefits

At Morningstar we believe people are at their best when they ar